Lviv Data Science Summer School 2018
DS Summer School 2018
- URL: http://cs.ucu.edu.ua/en/summerschool/about/
- Event Date: 2018-07-16 ~ 2018-08-02
- Submission Date: 2018-05-15
- Location: Lviv, Ukraine
Lviv Data Science Summer School (http://cs.ucu.edu.ua/en/summerschool/about/) is a two-week study course organized by the Faculty of Applied Sciences of the Ukrainian Catholic University (http://ucu.edu.ua).
School curriculum consists of the introductory courses (Statistical Inference, Machine Learning, Data Visualization) and a set of the elective applied courses in the domains of Computer Vision, Natural Language Processing, Healthcare, Sports Analytics, Social Network Analysis, Urban Data Science, Marketing Analytics, Recommender Systems, etc. Last four dates of the school are dedicated to project work on the topics that are provided by the supervisors - school’s lecturers and partner organizations. The participants will gain solid theoretical knowledge as well as a lot of practical work.
Lecturers are the scientists from well-known universities and the leading specialists of the Ukrainian and world's companies.
The School dates are July 16 – August 2, 2018.
The participants of the Summer School will gain 4 ECTS credits.
Prerequisites. English at level B1 and above. Python programming and use of basic mathematical libraries (e.g., Numpy); R is desirable. Knowledge of linear algebra and basics of probability theory.
To participate the applicants have to fill in the application form https://goo.gl/k4yFRB. The application deadline is May 15.
The school will be hosted in Lviv - amazing and beautiful city in the Eastern Europe, the cultural capital of Ukraine. You may find more information about our city here: https://www.lonelyplanet.com/ukraine/western-ukraine/lviv
School’s web page: http://cs.ucu.edu.ua/en/summerschool/about/
E-mail: lvcs@ucu.edu.ua
Also, you may take a look at the webpages of the previous summer schools:
2017: http://cs.ucu.edu.ua/en/summerschool/summer-school-2017/
2016: http://cs.ucu.edu.ua/en/summerschool/summer-school-2016/
School curriculum consists of the introductory courses (Statistical Inference, Machine Learning, Data Visualization) and a set of the elective applied courses in the domains of Computer Vision, Natural Language Processing, Healthcare, Sports Analytics, Social Network Analysis, Urban Data Science, Marketing Analytics, Recommender Systems, etc. Last four dates of the school are dedicated to project work on the topics that are provided by the supervisors - school’s lecturers and partner organizations. The participants will gain solid theoretical knowledge as well as a lot of practical work.
Lecturers are the scientists from well-known universities and the leading specialists of the Ukrainian and world's companies.
The School dates are July 16 – August 2, 2018.
The participants of the Summer School will gain 4 ECTS credits.
Prerequisites. English at level B1 and above. Python programming and use of basic mathematical libraries (e.g., Numpy); R is desirable. Knowledge of linear algebra and basics of probability theory.
To participate the applicants have to fill in the application form https://goo.gl/k4yFRB. The application deadline is May 15.
The school will be hosted in Lviv - amazing and beautiful city in the Eastern Europe, the cultural capital of Ukraine. You may find more information about our city here: https://www.lonelyplanet.com/ukraine/western-ukraine/lviv
School’s web page: http://cs.ucu.edu.ua/en/summerschool/about/
E-mail: lvcs@ucu.edu.ua
Also, you may take a look at the webpages of the previous summer schools:
2017: http://cs.ucu.edu.ua/en/summerschool/summer-school-2017/
2016: http://cs.ucu.edu.ua/en/summerschool/summer-school-2016/
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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